A5086363684- Human-Automation Interaction and Safety
- Ethics and Social Impacts of AI
- Psychology of Moral and Emotional Judgment
- Law, AI, and Intellectual Property
- Safety Warnings and Signage
- FinTech, Crowdfunding, Digital Finance
- Artificial Intelligence in Healthcare and Education
- Innovation, Sustainability, Human-Machine Systems
- Evolutionary Game Theory and Cooperation
- Transportation and Mobility Innovations
- Private Equity and Venture Capital
- Creativity in Education and Neuroscience
- Blockchain Technology Applications and Security
- Privacy, Security, and Data Protection
- Color perception and design
- Behavioral Health and Interventions
- Death Anxiety and Social Exclusion
- Traffic and Road Safety
- Neuroethics, Human Enhancement, Biomedical Innovations
- Occupational Health and Safety Research
- Impact of AI and Big Data on Business and Society
- Privacy-Preserving Technologies in Data
- Autonomous Vehicle Technology and Safety
- Explainable Artificial Intelligence (XAI)
Zhejiang University
2022-2024
North Carolina State University
2022
Given that automation complacency, a hitherto controversial concept, is already used to blame and punish human drivers in current accident investigations courts, it essential map complacency research driving determine whether can support its legitimate usage these practical fields. Here, we reviewed
While artificial intelligence increasingly democratises art creation, people tend to devalue AI-generated content—a phenomenon known as algorithm aversion. Recent work suggests that personalized AI models, trained on a user's past work, can increase credit attribution in text generation. We investigated whether this effect extends visual and examined the relationship between aesthetic appreciation. Across two studies (N=774), UK participants evaluated identical paintings were described being...
While artificial intelligence increasingly democratises art creation, people tend to devalue AI-generated content—a phenomenon known as algorithm aversion. Recent work suggests that personalized AI models, trained on a user's past work, can increase credit attribution in text generation. We investigated whether this effect extends visual and examined the relationship between aesthetic appreciation. Across two studies (N=774), UK participants evaluated identical paintings were described being...
While artificial intelligence increasingly democratises art creation, people tend to devalue AI-generated content—a phenomenon known as algorithm aversion. Recent work suggests that personalized AI models, trained on a user's past work, can increase credit attribution in text generation. We investigated whether this effect extends visual and examined the relationship between aesthetic appreciation. Across two studies (N=774), UK participants evaluated identical paintings were described being...
Generative artificial intelligence (AI) raises ethical questions concerning moral and legal responsibility-specifically, the attributions of credit blame for AI-generated content. For example, if a human invests minimal skill or effort to produce beneficial output with an AI tool, can still take credit? How does answer change has been personalized (i.e., fine-tuned) on previous outputs produced without assistance by same human? We conducted preregistered experiment representative sampling (N...
Driver monitoring systems (DMS) are designed to track drivers’ attention status, accumulate real-time data, and intervene when symptoms of fatigue or distraction observed, thereby enhancing driving safety [1]. In vehicles equipped with partial automation [2], the driver’s role necessitates constant road conditions dynamic task (DDT). These usually feature an advanced driver-assistance system (ADAS), but due limited understanding ADAS functionalities, drivers might develop overreliance on...
Generative artificial intelligence (AI) raises ethical questions concerning moral and legal responsibility—specifically, the attributions of credit blame for AI-generated content. For example, if a human invests minimal skill or effort to produce beneficial output with an AI tool, can still take credit? How does answer change has been personalized (i.e., fine-tuned) on previous outputs produced without assistance) by same human? We conducted pre-registered experiments representative samples...
Generative artificial intelligence (AI) raises ethical questions concerning moral and legal responsibility—specifically, the attributions of credit blame for AI-generated content. For example, if a human invests minimal skill or effort to produce beneficial output with an AI tool, can still take credit? How does answer change has been personalized (i.e., fine-tuned) on previous outputs produced without assistance) by same human? We conducted pre-registered experiments representative samples...
One critical issue of autonomous vehicles is how to communicate the intention pedestrians. In this study, impact two factors (vehicle motion and LED lighting signal type) on participants’ interpretation signals were investigated. A total 80 participants completed study online. We found that affects interpretation, but depending pattern; also able understand vehicle’s with attention capturing pattern (flashing squares). addition, some creative interpretations reported suggesting an...